On Saturday, June 1, 95 researchers, academic faculty, informaticians and clinicians from across the country gathered at the University of Rochester Medical Center to discuss applications for machine learning (ML) and artificial intelligence (AI) in translational science. Attendees from 45 CTSA Program hubs in 27 states and D.C. convened to discuss the potential applications of AI and ML for translational science and forge new partnerships with the goal of leveraging technological innovations in research.
“There’s been this explosion of applying AI, machine learning, deep learning and algorithmic classification to problems in health and medicine. But there are a number of issues and questions that people have in this area that the clinical and translational science community can bring expertise to,” said Martin Zand M.D., Ph.D., CLIC co-director. “The opportunity to help create an agenda with all of your other conference participants and then to participate in the sessions that you want to fosters engagement that lasts far beyond the meeting itself.”